92 citations · 133 across the 5 of their papers we have counts for
5 papers
Training-efficient density quantum machine learning
Brian Coyle, Snehal Raj, Natansh Mathur +4
Quantum machine learning (QML) requires powerful, flexible and efficiently trainable models to be successful in solving challenging problems. We introduce density quantum neural ne…
Improved Financial Forecasting via Quantum Machine Learning
Sohum Thakkar, Skander Kazdaghli, Natansh Mathur +3
Quantum algorithms have the potential to enhance machine learning across a variety of domains and applications. In this work, we show how quantum machine learning can be used to im…
Improved clinical data imputation via classical and quantum determinantal point processes
Skander Kazdaghli, Iordanis Kerenidis, Jens Kieckbusch +1
Imputing data is a critical issue for machine learning practitioners, including in the life sciences domain, where missing clinical data is a typical situation and the reliability…
Quantum Methods for Neural Networks and Application to Medical Image Classification
Jonas Landman, Natansh Mathur, Yun Yvonna Li +4
Quantum machine learning techniques have been proposed as a way to potentially enhance performance in machine learning applications. In this paper, we introduce two new quantum met…
Medical image classification via quantum neural networks
Natansh Mathur, Jonas Landman, Yun Yvonna Li +4
Machine Learning provides powerful tools for a variety of applications, including disease diagnosis through medical image classification. In recent years, quantum machine learning…